Huoshui File Search

Huoshui File Search

Enables fast file search on macOS using the native mdfind (Spotlight) command, with support for filtering, regex, sorting, and limiting results.

Category
访问服务器

README

Huoshui File Search

A Desktop Extension (DXT) that provides fast file search capabilities for macOS using the native mdfind command (Spotlight search).

⚠️ IMPORTANT: This extension only works on macOS systems. Windows and Linux are not supported.

Features

  • Fast file search using macOS Spotlight index
  • Multiple filtering options:
    • Path-based search restrictions
    • Case-sensitive/insensitive search
    • Regular expression matching
    • Sort results by name, size, or date
  • Configurable search limits
  • Clean JSON-structured responses
  • Built with FastMCP framework for optimal performance

Installation

From MCP Registry (Recommended)

This server is available in the Model Context Protocol Registry. Install it using your MCP client.

mcp-name: io.github.huoshuiai42/huoshui-file-search

Via PyPI (Recommended)

uvx huoshui-file-search

From Source

git clone https://github.com/huoshui/huoshui-file-search.git
cd huoshui-file-search
uv sync

Usage

As a Desktop Extension (DXT)

  1. Install the extension via your DXT-compatible application (e.g., Claude Desktop)
  2. The extension will be automatically configured and ready to use
  3. Use the search_files tool with various parameters

Direct Usage

from server.main import search_files, FileSearchParams

# Basic search
params = FileSearchParams(query="report.pdf")
result = await search_files(None, params)

# Search with filters
params = FileSearchParams(
    query="*.py",
    path="/Users/username/Documents",
    case_sensitive=True,
    sort_by="size",
    limit=50
)
result = await search_files(None, params)

Tool Parameters

  • query (required): Search query string
  • path (optional): Directory to limit search scope
  • case_sensitive (optional): Enable case-sensitive search (default: false)
  • regex (optional): Regex pattern to filter results by filename
  • sort_by (optional): Sort results by 'name', 'size', or 'date'
  • limit (optional): Maximum number of results (default: 100, max: 1000)

mdfind Query Syntax

The query parameter uses macOS Spotlight's mdfind syntax:

  • Simple text search: report - finds files containing "report"
  • File kind: kind:pdf, kind:image, kind:movie
  • Filename search: kMDItemFSName == "*.py" - finds Python files
  • Combined queries: invoice AND kind:pdf - finds PDF files containing "invoice"
  • Date queries: date:today, modified:this week

Note: If your query like '寻找工程车' kind:movie returns no results, it might mean:

  1. No files match both criteria
  2. The syntax needs adjustment (try 寻找工程车 AND kind:movie)
  3. Spotlight hasn't indexed the files yet

Examples

Basic File Search

{
  "query": "document.pdf"
}

Search in Specific Directory

{
  "query": "*.txt",
  "path": "/Users/username/Documents"
}

Case-Sensitive Search

{
  "query": "README",
  "case_sensitive": true
}

Search with Regex Filter

{
  "query": "kind:text",
  "regex": "log.*2024.*\\.txt$"
}

Sorted and Limited Results

{
  "query": "*.jpg",
  "sort_by": "size",
  "limit": 20
}

Configuration

The extension supports user configuration through the DXT manifest:

  • allowed_directories: List of directories to limit search scope
  • default_limit: Default maximum number of search results
  • enable_logging: Enable debug logging

Development

Project Structure

huoshui-file-search/
├── manifest.json       # DXT manifest file
├── server/            # MCP server implementation
│   ├── __init__.py
│   ├── __main__.py
│   └── main.py
├── pyproject.toml     # Python package configuration
├── requirements.txt   # Python dependencies
├── LICENSE           # MIT License
└── README.md         # This file

Testing Locally

  1. Install dependencies:

    uv sync
    
  2. Run the server:

    uv run python -m server
    

    Or after publishing to PyPI:

    uvx huoshui-file-search
    
  3. The server will communicate via stdio according to the MCP protocol

Publishing to PyPI

  1. Build the package:

    uv build
    
  2. Upload to PyPI:

    uv publish
    

System Requirements

  • macOS 10.15 or later
  • Python 3.10 or later
  • uv package manager (install with: curl -LsSf https://astral.sh/uv/install.sh | sh)
  • Spotlight indexing enabled

Troubleshooting

"Platform not supported" Error

This extension only works on macOS. Ensure you're running it on a Mac.

"mdfind command not found" Error

Ensure Spotlight is enabled on your Mac. You can check this in System Preferences > Spotlight.

No Search Results

  • Spotlight may still be indexing new files
  • Check if the file path is included in Spotlight's search scope
  • Verify the search query syntax

Search Timeout

Large searches may timeout after 30 seconds. Try:

  • Limiting the search path
  • Using more specific queries
  • Reducing the result limit

License

MIT License - see LICENSE file for details

Contributing

Contributions are welcome! Please:

  1. Fork the repository
  2. Create a feature branch
  3. Add tests for new functionality
  4. Submit a pull request

Support

For issues and feature requests, please visit: https://github.com/huoshui/huoshui-file-search/issues

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选